Research and Development in the Networks of Cognitive Radio: A Survey

Bharathy, G. T.; Rajendran, V.; Meena, M.; Tamilselvi, T.

doi:10.1007/978-981-15-8677-4_39

Cited by 7 publications

(1 citation statement)

References 55 publications

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“…A novel hybrid scheme by applying [9] in Theorem and [10] test metric-based spectrum sensing is described in [11]. PRIDe utilized for cooperative sensing of the spectrum is discussed in [12].…”

Section: Related Workmentioning

confidence: 99%

Efficient Centralized Cooperative Spectrum Sensing Techniques for Cognitive Networks

Gnanasivam¹,

Bharathy²,

Rajendran³

et al. 2023

Computer Systems Science and Engineering

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Wireless Communication is a system for communicating information from one point to other, without utilizing any connections like wire, cable, or other physical medium. Cognitive Radio (CR) based systems and networks are a revolutionary new perception in wireless communications. Spectrum sensing is a vital task of CR to avert destructive intrusion with licensed primary or main users and discover the accessible spectrum for the efficient utilization of the spectrum. Centralized Cooperative Spectrum Sensing (CSS) is a kind of spectrum sensing. Most of the test metrics designed till now for sensing the spectrum is produced by using the Sample Covariance Matrix (SCM) of the received signal. Some of the methods that use the SCM for the process of detection are Pietra-Ricci Index Detector (PRIDe), Hadamard Ratio (HR) detector, Gini Index Detector (GID), etc. This paper presents the simulation and comparative performance analysis of PRIDe with various other detectors like GID, HR, Arithmetic to Geometric Mean (AGM), Volume-based Detector number 1 (VD1), Maximumto-Minimum Eigenvalue Detection (MMED), and Generalized Likelihood Ratio Test (GLRT) using the MATLAB software. The PRIDe provides better performance in the presence of variations in the power of the signal and the noise power with less computational complexity.

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Section: Related Workmentioning

confidence: 99%